PickAClass · AI Applications (Interdisciplinary) · AI for Agriculture (AgriTech)

Automated Pest & Disease Detection

Build and deploy computer vision models to automatically detect and identify pests, weeds, and diseases from images, enabling early intervention and targeted treatments.

Automated Pest & Disease Detection

Graph2Vec and Graph Embeddings in Python

Python Descriptors: Control Object Attributes

Hugging Face Inference API: Deploy AI Models

Python Logging System: Build a Thread-Safe Singleton Logger

Python Descriptors: Automating Attribute Names

Loss Functions for JAX Neural Networks

Python Virtual Environments: Manage Dependencies Effectively

Optimal Hyperparameters for Decision Trees in Python

Matrix Linear Combinations in Python

Python TMDB API Integration: Fetch Movie Media and Metadata

Evaluating Machine Learning Models with Confusion Matrices in Python

Efficient Python Testing with Pytest Parametrization

Vimeo API Integration with Python: Search, Filter, and Retrieve Videos

Fiduciary Marker Detection with Python and OpenCV

Training and Evaluating GloVe Word Embeddings

Python Computer Vision: Build a Virtual Glasses Try-On Tool

Network Embeddings with Node2Vec in Python

Natural Language Processing with Python and the OpenAI API

Go Configuration Management with Viper and Command-Line Flags

Handwritten Digit Classification with SVM and Logistic Regression

Image Classification with Hugging Face API and Transformers

Statistical Resampling and Simulation in Python

Support Vector Machines for Cancer Classification and Tuning in Python

CIFAR-10 Data Pipelines for VAE Image Generation in TensorFlow